Provides access to official Apple development documentation, design guidelines, and comprehensive platform knowledge through advanced RAG (Retrieval-Augmented Generation) search capabilities.
Offers comprehensive access to iOS development documentation, APIs, and technical resources through intelligent search and retrieval systems.
Provides complete coverage of macOS development documentation and platform-specific knowledge for building macOS applications.
Enables semantic and hybrid search across Swift documentation, code examples, and official Swift development resources with AI-powered reranking for accurate results.
Integrates Apple Developer YouTube channel content including WWDC sessions, tutorials, and live events for comprehensive video-based learning resources.
Transform your AI agents into Apple development experts with instant access to official Swift docs, design guidelines, and platform knowledge.
🌐 Learn More • 🚀 Get Started • 📊 Dashboard
✨ What is Apple RAG MCP?
Apple RAG MCP delivers exactly what your AI agents need: official Swift development docs, design guidelines, comprehensive Apple platform knowledge, and Apple Developer YouTube content including WWDC sessions, tutorials, and live events - current and complete.
A cutting-edge Retrieval-Augmented Generation (RAG) system combining Apple's official documentation with video content from the Apple Developer YouTube channel. Features professional AI reranking with Qwen3-Reranker-8B for superior search accuracy across multiple content types.
🤖 AI-Powered Embedding & Reranking • ⚡ Semantic Search for RAG • 🔍 Keyword Search • 🎯 Hybrid Search
🚀 Quick Start
Option 1: One-Click Cursor Setup (Recommended)
Click the button above and Cursor will automatically configure everything for you in seconds.
Option 2: Manual Setup for Other MCP Clients
JSON Configuration (Copy & Paste):
Manual Configuration Parameters:
MCP Type:
Streamable HTTPURL:
https://mcp.apple-rag.comAuthentication:
Optional(MCP Token for higher limits)MCP Token: Get yours at apple-rag.com for increased quota
Option 3: Self-Hosted Deployment
Want to run your own instance? See our Deployment Guide for complete setup instructions.
Quick Setup:
Supported Clients: Cursor, Claude Desktop, Cline, and all MCP-compatible tools.
Note: No MCP Token required to start! You get free queries without any authentication. Add an MCP Token later for higher usage limits.
🌟 Why Developers Love Apple RAG MCP
⚡ Fast & Reliable
Get quick responses with our optimized search infrastructure. No more hunting through docs.
🎯 AI-Powered Hybrid Search
Advanced search technology combining Semantic Search for RAG, Keyword Search, and Hybrid Search with vector similarity and technical term matching provides accurate, contextual answers from Apple's documentation.
🔒 Always Secure
MCP authentication ensures trusted access for your AI agents with enterprise-grade security.
📝 Code Examples
Get practical code examples in Swift, Objective-C, and SwiftUI alongside documentation references.
🔄 Real-time Updates
Our documentation index is continuously updated to reflect the latest Apple developer resources.
🆓 Completely Free
Start immediately with no MCP Token required. Get an MCP Token for higher usage limits - all managed at apple-rag.com.
🎯 Features
🔍 Semantic Search for RAG - Vector similarity with semantic understanding for intelligent retrieval
🔎 Keyword Search - Precise technical term matching for API names and specific terminology
🎯 Hybrid Search - Combined semantic and keyword search with AI reranking for optimal results
📚 Complete Coverage - iOS, macOS, watchOS, tvOS, visionOS documentation
📺 Video Content - Apple Developer YouTube channel with WWDC sessions and tutorials
⚡ Fast Response - Optimized for speed across all content types
🚀 High Performance - Multi-instance cluster deployment for maximum throughput
🔄 Always Current - Synced with Apple's latest docs and video content
🛡️ Secure & Private - Your queries stay private
🌐 Universal MCP - Works with any MCP-compatible client
🤝 Community & Support
🌐 Dashboard: apple-rag.com
📖 Documentation: Complete setup guides and examples
💬 Support: Get help through our web dashboard
⭐ GitHub: Star this repo if you find it useful!
Ready to supercharge your AI agents with Apple expertise?
🚀 Get Started Now • ⭐ Star on GitHub
Made with ❤️ for the Apple developer community